Takuya Iwanaga
Statistics and Probability · 2020
A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Statistics and Probability — 56 citations into it
Whom Takuya Iwanaga trusts
Their strongest outbound trust, strongest first, inferred from their citations.
- Andrea Saltelli (in Statistics and Probability)
Papers from Takuya Iwanaga's perspective
Ordered by how strongly the researchers Takuya Iwanaga trusts endorse each paper. Same corpus, a different order for every researcher.
- Probabilistic sensitivity analysis of complex models: a Bayesian approach
- The Elements of Statistical Learning: Data Mining, Inference, and Prediction
- ImageNet classification with deep convolutional neural networks
- Making best use of model evaluations to compute sensitivity indices
- Measuring Statistical Dependence with Hilbert-Schmidt Norms
- Random Forests
- The Wiener-Askey Polynomial Chaos for Stochastic Differential Equations (SIAM Journal on Scientific Computing)
- Global sensitivity analysis using polynomial chaos expansions (Reliability Engineering & System Safety)
- Towards reduced uncertainty in conceptual rainfall‐runoff modelling: dynamic identifiability analysis
- From screening to quantitative sensitivity analysis. A unified approach (Computer Physics Communications)